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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

Seynnes, Olivier R ; Cronin, Neil J Abraham, Thomas

PloS one, 2020-02, Vol.15 (2), p.e0229034-e0229034 [Revista revisada por pares]

United States: Public Library of Science

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Título:
Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans
Autor: Seynnes, Olivier R ; Cronin, Neil J
Abraham, Thomas
Materias: Architecture ; Automation ; Biology and Life Sciences ; Computer and Information Sciences ; Frequency dependence ; Humans ; Image acquisition ; Image analysis ; Image filters ; Image Interpretation, Computer-Assisted ; Image processing ; Image Processing, Computer-Assisted - methods ; In vivo methods and tests ; Measurement ; Mechanization ; Medicine and Health Sciences ; Methods ; Muscles ; Muscles - diagnostic imaging ; Open source software ; Plug-in software ; Power ; Prejudice ; Research and Analysis Methods ; Setting (Literature) ; Software ; Standard deviation ; Structure-function relationships ; Time ; Ultrasonic imaging ; Ultrasonography - methods ; Ultrasound ; Workflow
Es parte de: PloS one, 2020-02, Vol.15 (2), p.e0229034-e0229034
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descripción: In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to highlight aponeuroses and fascicles. Fascicle dominant orientation is then computed in regions of interest using the OrientationJ plugin. Bland-Altman plots of analyses performed manually or with SMA indicate that the automated analysis does not induce any systematic bias and that both methods agree equally through the range of measurements. Our test results illustrate the suitability of SMA to analyse images from superficial muscles acquired with a broad range of ultrasound settings.
Editor: United States: Public Library of Science
Idioma: Inglés

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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

Seynnes, Olivier R ; Cronin, Neil J Abraham, Thomas

United States: Public Library of Science

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